partners across campus for IT/AV: CETL
What is the most important key for creating active learning spaces (ALS).
Mathew shared his work with CETL and his understanding of the importance of faculty being brought to the table. Faculty as equal stakeholder in the process.
In a conversation with him after the presentation, he agreed that faculty must be the leading force in in generating ideas what new technology and how to implement technology in the classroom. He agreed that at the present IT/AV staff is the leading force and this is a corrupt statuquo
faculty and academic affairs, students, facilities, architects, engineers, contractors, furniture vendors, IT (networking, support instructional design)
challanges: ITS mindset (conservative), Administration must be on board (money), Funding.
MnSCU is not Google friendly. 60% of the staff is not doing the same tasks as 3 years ago.
Open about challenges, sharing more with faculty. Nice to hear this, but the communication must be much larger, to the point when faculty are equal partners in a relationship, which is not far from equal decision making.
If faculty is not considered a REAL stakeholder (versus intimated body in a meeting which is controlled by IT people), the entire technology use goes down the drain. Faculty is much stronger relationship with students then IT is with students. The presentation put weight on IT staff and its connection with students’ needs. It is questionable how IT staff can make stronger connection then faculty, who are in a daily contact with students.
The issue is how to assist faculty to catch up with the technology, not how IT staff to rival faculty in their connection with students. What faculty lacks in understanding of technology cannot be replaced by IT staff increasing interaction with students, but rather assisting faculty with coming to terms with technology.
maintaining innovation: fail fast and fail forward; keep up to date with technology (blank statement); always look for new furniture; focus on space design instead of just A/V; Challenge yourself with new ideas; always learn from your mistakes; always get feedback from students and faculty (again, the PERIPHERAL role of faculty. Is feedback all expected from faculty? It faculty and IT staff must be equal partners at the decision table. not faculty being consulted at decision made by IT staff)
Google Glass mentioned, Pebble watches. supposedly to understand students habits. Big data used to profiling students is very fashionable, but is it the egg in the basket?
they have 3d printer, Inoculus. Makerspace mentioned
examples how to use 3d printing for education (LRS archive collections, MN digital library).
the presenter kept asking if there are questions. it makes me wonder how far back (pedagogically or androgogically) IT staff must be to NOT consider backchanneling. Social media is not a novelty and harvesting opinions and questions using social media should not be neglected
digital classroom breakdown session
Break down session: Digital Classroom
technical, very IT. I am not versed enough to draw impression on how it projects over real faculty work. HDMI cables.
relating to the previous presentation: I really appreciate the IT / AV staff handling all this information, which is complex and important; but during my 15 years tenure at SCSU I learned to be suspicious of when the complexity and the importance of the techy matter starts asserting itself as leading when the pedagogy in the classroom is determined.
HD flow and other hardware and software solutions
VLAN 3. lecture capture.
BYOD support in the classroom: about half of the room raised their hands.
how does it help faculty? hi end lecture capture. Collaboration for two experts, they can use the green screen. Use the background.
How decisions are made. Is faculty involved. This center is one time deal, money spent on production. Innovative technology for $40K. It might be more. No time to survey people what they want. There are other technologies which people can try out and then expand on them.
Bunch of smart boards, but not sure if people are. Using them. Software and apps only here at the CETL, not on the. Rest of the campus. People will try but get stuck with that technology Only.
web page and linkedin are the social media they are using
the CETL is housing people with different bosses. Closes collaboration is technology and CETL, not research yet. D2l specialist and hardware people are coming to CETL. StarID conversion is hosted in CETL. Library had to give up spaceto CEyl and like at Scsu problematic.
Assessment certificate. Sustainability and budget.
Summer money for class redesign. Cohort of people who can focus on that. flipped classroom study abroad etc as themes.
New provost wants decisions to be data driven. Is there an office like institutional research. Use only quantitative data but thinking about qualitative interviews.
– mostly it is visual changes. D2L is now using a lot of collapsing / scroll down bars to navigate. it is more compact
– changes and improvements in different tools: e.g. discussion, rubrics, grades (e.g. export straight to Excel), pager etc
– faculty cannot add tools to the default navbar, but can email email@example.com and request a tool to be added. Faculty CAN take off tool; don;t forget to save
– must post first in discussion
10:00-10:30am: Make D2L work for you: discussions and grades in D2L . Dr. David Switzer, Economics
– grades, how to streamline them. copying again and again in D2L can be too timeconsuming. exxporting to Excel, calculating and importing back is easier. Remeber to export a blank D2L grading item, so the template can be set. q/n: when final grades will be able to export straight from D2L to R&R
-use subscription on discussion
-show students in class that surveys are anonimous indeed
– who to turn for help and ideas: colleagues, tech support, tech insrtruct people, students
– how to organize lectures’ content and put it online, D2L in particular
– F2F, hybrid and online. how do we choose and discriminate?
– online learning, disruptive technology. touched on MOOC, student-center edlearning
– Camtasia. free version of the C Studio 8.0 for Win and Mac. Shareware (30 days). for every min of recorded lecture, will take 5 to 10 min to record it, edit it and prepared it.
– Adobe Captivate. use it through the virtual lab. it is not that connvenient. $30 per year for the key server version
-Blue Berry is superior to Camtesia by allowing to draw
– Jing. Free
– Screencast. bandwidh restriction. means that too many students cannot view simultanously the lecture video. Flash-based and this is not compatible with Apple products.
– Mediaserver (media4.stcloudstate.edu) upload zipped folder (SCORM compliant). Need an account, request from Greg Jorgenson.
— Mike from the Adobe Connect participants shared ” I’ve used Screenhunter to captures images (jpg), which is a free software”
– multimedia formats: video, audio, images, animations
– differences between raster and vector graphics. Camtasia will accept only JPG, PNG formats, but not vectorgraphics
11:30-12:00pm: Open time for individual projects and problem solving.
– Steve: rubrics and grading. D2L is not flexible and we need to adapt our assessment to the D2L capabilities.
– homework and papers, holistic and analytic.
– Amazon Kindle much better for grading online then iPAD.
– separate criteria did not work for Steve, but Ken has his rubrics in different criteria. KISS rule. Properly defines students’ expecations. Create a grid of the rubrics and then cut and paste into the D2L rubrics. Also go over with students over the rubrics details.
– Ken: have several levels in rubrics. New Rubric must be “published” and not a “draft” otherwise cannot be linked to grades.
– calibrated peer review.
another way of using rubrics. potential advantage of using this app is to do automated blind peer review. D2L cannot do it that well as this app. handy for large classes and short writing assignments. Contact Joe Melcher (firstname.lastname@example.org) for an account to be created.
crowd control versus really learning the content. The software gives a good feedback what students have actually done (student progress tab).
export callibrated results to D2L
2:00-3:00pm: Open time for individual projects and problem solving.
However, none of these studies question the teaching methods used in the classes themselves or whether teachers are recognizing the power of digital devices for students to create, share, connect and discover information.
Digital Organization and Content Curation
Much like students understand the concept of binders, notebooks and notes in the physical world, they need a similar system in the digital one. Whether working with dividers and subjects in a tool like Notability or sections and pages in OneNote, students need to build vocabulary to support how they house their learning.
Tagging this way not only helps students stay organized, but it could also help them to examine trends across courses or even semesters.
As a doctoral student, I use OneNote. First, I create a new digital notebook each year. Inside that, I add sections for each term as well as my different courses. Finally, my notes get organized into individual pages within the sections. When I can recall the precise location where I put a particular set of notes, I navigate directly to that page. However, on the numerous occasions when an author, vocabulary term or concept seems familiar but I cannot recall the precise moment when I took notes, then the search function becomes critical.
With most tools (Notability, OneNote, Evernote, etc.), students can not only capture typed and handwritten notes but also incorporate photos, audio and even video. These versatile capabilities allow students to customize their note taking process to meet their learning needs. Consider these possibilities:
Students may take notes on paper, add photos of those papers into a digital notebook, synthesize their thinking with audio or written notes, and then tag their digital notes for later retrieval.
Students might use audio syncing — a feature that records audio and then digitally syncs it with whatever the student writes or types — to capture the context of the class discussion or lecture. When reviewing their notes, students could click or tap on their notes and then jump directly to that point in the audio recording.
Teachers might provide students with their presentation slides or other note taking guides as PDF files. Now, students can focus on taking notes — using any modality — for synthesis, elaboration, reflection or analysis rather than in an attempt to capture content verbatim.
In 1949, neuropsychologist Donald Hebb famously wrote, “Neurons that fire together wire together.”
One of the powerful components of digital note taking is that the pages never end, and a full page isn’t an artificial barrier to limit thinking. Students can work on an infinitely expanding canvas to include as much information as they need. For example, concept mapping tools such as Coggle or Padlet allow students to create networks of ideas using text, links, images and even video without ever running out of room. (my note to John Eller – can we renew our 201-2013 discussion about pen vs computer concept mapping?)
OneNote OneNote is the obvious choice for anyone who is using a Microsoft Surface or other Windows-based tablet. It is also available to use on iPads and on Android tablets. The option to have handwriting converted to text is an outstanding feature.
If you’re a G Suite for Education user, Google Keep. It doesn’t have the handwriting-to-text function that OneNote offers.
Zoho Notebook Zoho Notebook doesn’t have the name recognition of OneNote or Keep. Zoho Notebook has the most intuitive design or organization options of the three digital notebooks featured here.
The downside to Zoho Notebook is that the handwriting option only appears on the Android and iOS platforms. If the handwriting option worked in the Chrome or Edge web browsers,
Facebook’s board works more like an advisory committee than an overseer, because Mark controls around 60 percent of voting shares. Mark alone can decide how to configure Facebook’s algorithms to determine what people see in their News Feeds, what privacy settings they can use and even which messages get delivered. He sets the rules for how to distinguish violent and incendiary speech from the merely offensive, and he can choose to shut down a competitor by acquiring, blocking or copying it.
We are a nation with a tradition of reining in monopolies, no matter how well intentioned the leaders of these companies may be. Mark’s power is unprecedented and un-American.
It is time to break up Facebook.
America was built on the idea that power should not be concentrated in any one person, because we are all fallible. That’s why the founders created a system of checks and balances.
More legislation followed in the 20th century, creating legal and regulatory structures to promote competition and hold the biggest companies accountable.
Starting in the 1970s, a small but dedicated group of economists, lawyers and policymakers sowed the seeds of our cynicism. Over the next 40 years, they financed a network of think tanks, journals, social clubs, academic centers and media outlets to teach an emerging generation that private interests should take precedence over public ones. Their gospel was simple: “Free” markets are dynamic and productive, while government is bureaucratic and ineffective.
From our earliest days, Mark used the word “domination” to describe our ambitions, with no hint of irony or humility.
Facebook’s monopoly is also visible in its usage statistics.About 70 percent of American adults use social media, and a vast majority are on Facebook products. Over two-thirds use the core site, a third use Instagram, and a fifth use WhatsApp. By contrast, fewer than a third report using Pinterest, LinkedIn or Snapchat. What started out as lighthearted entertainment has become the primary way that people of all ages communicate online.
The F.T.C.’s biggest mistake was to allow Facebook to acquire Instagram and WhatsApp. In 2012, the newer platforms were nipping at Facebook’s heels because they had been built for the smartphone, where Facebook was still struggling to gain traction. Mark responded by buying them, and the F.T.C. approved.
The News Feed algorithm reportedly prioritized videos created through Facebook over videos from competitors, like YouTube and Vimeo. In 2012, Twitter introduced a video network called Vine that featured six-second videos. That same day, Facebook blocked Vine from hosting a tool that let its users search for their Facebook friends while on the new network.The decision hobbled Vine, which shut down four years later.
unlike Vine, Snapchat wasn’t interfacing with the Facebook ecosystem; there was no obvious way to handicap the company or shut it out. So Facebook simply copied it. (opyright law does not extend to the abstract concept itself.)
As markets become more concentrated, the number of new start-up businesses declines. This holds true in other high-tech areas dominated by single companies, like search (controlled by Google) and e-commerce (taken over by Amazon). Meanwhile, there has been plenty of innovation in areas where there is no monopolistic domination, such as in workplace productivity (Slack, Trello, Asana), urban transportation (Lyft, Uber, Lime, Bird) and cryptocurrency exchanges (Ripple, Coinbase, Circle).
The choice is mine, but it doesn’t feel like a choice. Facebook seeps into every corner of our lives to capture as much of our attention and data as possible and, without any alternative, we make the trade.
Just last month, Facebook seemingly tried to bury news that it had stored tens of millions of user passwords in plain text format, which thousands of Facebook employees could see. Competition alone wouldn’t necessarily spur privacy protection — regulation is required to ensure accountability — but Facebook’s lock on the market guarantees that users can’t protest by moving to alternative platforms.
Mark used to insist that Facebook was just a “social utility,” a neutral platform for people to communicate what they wished. Now he recognizes that Facebook is both a platform and a publisher and that it is inevitably making decisions about values. The company’s own lawyers have argued in court that Facebook is a publisher and thus entitled to First Amendment protection.
As if Facebook’s opaque algorithms weren’t enough, last year we learned that Facebook executives had permanently deleted their own messages from the platform, erasing them from the inboxes of recipients; the justification was corporate security concerns.
Mark may never have a boss, but he needs to have some check on his power. The American government needs to do two things: break up Facebook’s monopoly and regulate the company to make it more accountable to the American people.
We Don’t Need Social Media
The push to regulate or break up Facebook ignores the fact that its services do more harm than good
Hughes joins a growing chorus of former Silicon Valley unicorn riders who’ve recently had second thoughts about the utility or benefit of the surveillance-attention economy their products and platforms have helped create. He is also not the first to suggest that government might need to step in to clean up the mess they made
Nick Srnicek, author of the book Platform Capitalismand a lecturer in digital economy at King’s College London, wrotelast month, “[I]t’s competition — not size — that demands more data, more attention, more engagement and more profits at all costs
digital humanities is born f the encounter between traditional humanities and computational methods.
p. 5. From Humanism to Humanities
While the foundations of of humanistic inquiry and the liberal arts can be traced back in the west to the medieval trivium and quadrivium, the modern and human sciences are rooted in the Renaissance shift from a medieval, church dominated, theocratic world view to be human centered one period the gradual transformation of early humanism into the disciplines that make up the humanities today Was profoundly shaped by the editorial practices involved in the recovery of the corpus of works from classical antiquity
P. 6. The shift from humanism to the institution only sanctioned disciplinary practices and protocols that we associate with the humanities today is best described as a gradual process of subdivision and specialization.
P. 7. Text-based disciplines in studies (classics, literature, philosophy, the history of ideas) make up, from the very start, the core of both the humanities and the great books curricular instituted in the 1920s and 1930s.
P. 10. Transmedia modes of argumentation
In the 21st-century, we communicate in media significantly more varied, extensible, and multiplicative then linear text. From scalable databases to information visualizations, from video lectures to multi-user virtual platforms serious content and rigorous argumentation take shape across multiple platforms in media. The best digital humanities pedagogy and research projects train students both in “reading “and “writing “this emergent rhetoric and in understanding how the reshape and three model humanistic knowledge. This means developing critically informed literacy expensive enough to include graphic design visual narrative time based media, and the development of interfaces (Rather then the rote acceptance of them as off-the-shelf products).
P. 11. The visual becomes ever more fundamental to the digital humanities, in ways that compliment, enhance, and sometimes are in pension with the textual.
There is no either/or, no simple interchangeability between language and the visual, no strict sub ordination of the one to the other. Words are themselves visual but other kinds of visual constructs do different things. The question is how to use each to its best effect into device meaningful interpret wing links, to use Theodor Nelson’s ludic neologism.
P. 11. The suite of expressive forms now encompasses the use of sound, motion graphics, animation, screen capture, video, audio, and the appropriation and into remix sink of code it underlines game engines. This expanded range of communicative tools requires those who are engaged in digital humanities world to familiarize themselves with issues, discussions, and debates in design fields, especially communication and interaction design. Like their print predecessors, form at the convention center screen environments can become naturalized all too quickly, with the results that the thinking that informed they were designed goes unperceived.
For digital humanists, design is a creative practice harnessing cultural, social, economic, and technological constraints in order to bring systems and objects into the world. Design in dialogue with research is simply a picnic, but when used to pose in frame questions about knowledge, design becomes an intellectual method. Digital humanities is a production based in Denver in which theoretical issues get tested in the design of implementations and implementations or loci after your radical reflection and elaboration.
Did you thaw humanists have much to learn from communication and media design about how to juxtapose and integrate words and images create hire he is of reading, Forge pathways of understanding, deployed grades in templates to best effect, and develop navigational schemata that guide in produce meaningful interactions.
P. 15. The field of digital digital humanities me see the emergence of polymaths who can “ do it all” : Who can research, write, shoot, edit, code, model, design, network, and dialogue with users. But there is also ample room for specialization and, particularly, for collaboration.
P. 16. Computational activities in digital humanities.
The foundational layer, computation, relies on principles that are, on the surface, at odds with humanistic methods.
P. 17. The second level involves processing in a way that conform to computational capacities, and this were explored in the first generation of digital scholarship and stylometrics, concordance development, and indexing.
Duration, analysis, editing, modeling.
Duration, analysis, editing, and modeling comprise fundamental activities at the core of digital humanities. Involving archives, collections, repositories, and other aggregations of materials, duration is the selection and organization of materials in an interpretive framework, argument, or exhibit.
P. 18. Analysis refers to the processing of text or data: statistical and quantitative methods of analysis have brought close readings of texts (stylometrics and genre analysis, correlation, comparisons of versions for alter attribution or usage patterns ) into dialogue with distant reading (The crunching cuff large quantities of information across the corpus of textual data or its metadata).
Edit think has been revived with the advent of digital media and the web and to continue to be an integral activity in textual as well as time based formats.
P. 18. Model link highlights the notion of content models- shapes of argument expressed in information structures in their design he digital project is always an expression of assumptions about knowledge: usually domain specific knowledge given an explicit form by the model in which it is designed.
P. 19. Each of these areas of activity- cure ration, analysis, editing, and modeling is supported by the basic building blocks of digital activity. But they also depend upon networks and infrastructure that are cultural and institutional as well as technical. Servers, software, and systems administration are key elements of any project design.
P. 30. Digital media are not more “evolved” have them print media nor are books obsolete; but the multiplicity of media in the very processes of mediation entry mediation in the formation of cultural knowledge and humanistic inquiry required close attention. Tug link between distant and clothes, macro and micro, and surface in depth becomes the norm. Here, we focus on the importance of visualization to the digital humanities before moving on to other, though often related, genre and methods such as Locative investigation, thick mapping, animated archives, database documentaries, platform studies, and emerging practices like cultural analytics, data mining and humanities gaming.
P. 35. Fluid texture out what he refers to the mutability of texts in the variants and versions Whether these are produced through Authorial changes, anything, transcription, translation, or print production
Cultural Analytics, aggregation, and data mining.
The field of cultural Analytics has emerged over the past few years, utilizing tools of high-end computational analysis and data visualization today sect large-scale coach data sets. Cultural Analytic does Not analyze cultural artifacts, but operates on the level of digital models of this materials in aggregate. Again, the point is not to pit “close” hermeneutic reading against “distant” data mapping, but rather to appreciate the synergistic possibilities and tensions that exist between a hyper localized, deep analysis and a microcosmic view
Data mining is a term that covers a host of picnics for analyzing digital material by “parameterizing” some feature of information and extract in it. This means that any element of a file or collection of files that can be given explicit specifications, or parameters, can be extracted from those files for analysis.
Understanding the rehtoric of graphics is another essential skill, therefore, in working at a skill where individual objects are lost in the mass of processed information and data. To date, much humanities data mining has merely involved counting. Much more sophisticated statistical methods and use of probability will be needed for humanists to absorb the lessons of the social sciences into their methods
P. 42. Visualization and data design
Currently, visualization in the humanities uses techniques drawn largely from the social sciences, Business applications, and the natural sciences, all of which require self-conscious criticality in their adoption. Such visual displays including graphs and charts, may present themselves is subjective or even unmediated views of reality, rather then is rhetorical constructs.
Warwick, C., Terras, M., & Nyhan, J. (2012). Digital humanities in practice . London: Facet Publishing in association with UCL Centre for Digital Humanities.
Eureka: machine learning tool, brainstorming engine. give it an initial idea and it returns similar ideas. Like Google: refine the idea, so the machine can understand it better. create a collection of ideas to translate into course design or others.
influencers and microinfluencers, pre- and doing the execution
a machine can construct a book with the help of a person. bionic book. machine and person working hand in hand. provide keywords and phrases from lecture notes, presentation materials. from there recommendations and suggestions based on own experience; then identify included and excluded content. then instructor can construct.
Design may be the least interesting part of the book for the faculty.
multiple choice quiz may be the least interesting part, and faculty might want to do much deeper assessment.
use these machine learning techniques to build assessment. how to more effectively. inquizitive is the machine learning
students engagements and similar prompts
presence in the classroom: pre-service teachers class. how to immerse them and practice classroom management skills
First class: marriage btw VR and use of AI – an environment headset: an algorithm reacts how teachers are interacting with the virtual kids. series of variables, oppty to interact with present behavior. classroom management skills. simulations and environments otherwise impossible to create. apps for these type of interactions
facilitation, reflection and research
AI for more human experience, allow more time for the faculty to be more human, more free time to contemplate.
Jason: Won’t the use of AI still reduce the amount of faculty needed?
Christina Dumeng: @Jason–I think it will most likely increase the amount of students per instructor.
Andrew Cole (UW-Whitewater): I wonder if instead of reducing faculty, these types of platforms (e.g., analytic capabilities) might require instructors to also become experts in the various technology platforms.
Dirk Morrison: Also wonder what the implications of AI for informal, self-directed learning?
Kate Borowske: The context that you’re presenting this in, as “your own jazz band,” is brilliant. These tools presented as a “partner” in the “band” seems as though it might be less threatening to faculty. Sort of gamifies parts of course design…?
Dirk Morrison: Move from teacher-centric to student-centric? Recommender systems, AI-based tutoring?
Andrew Cole (UW-Whitewater): The course with the bot TA must have been 100-level right? It would be interesting to see if those results replicate in 300, 400 level courses